OmniHuman-1
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- ByteDance
- Organisation type
- Industry
- Country
- China
- Published
- 13 February 2025
- Authors
- Gaojie Lin, Jianwen Jiang, Jiaqi Yang, Zerong Zheng, Chao Liang
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Video, Vision, Audio
- Task
- Video generation, Image-to-video
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
OmniHuman-1 was published by ByteDance, in China, in February 2025. industry is the category the publisher falls under.
It works in Video, Vision, Audio, and is recorded as doing video generation, Image-to-video.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
OmniHuman-1 — common questions
When was OmniHuman-1 released?
OmniHuman-1 was published in February 2025.
What is OmniHuman-1 used for?
OmniHuman-1 works in Video, Vision, Audio, and is recorded as handling video generation, Image-to-video. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run OmniHuman-1?
None. OmniHuman-1 is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is OmniHuman-1 open source?
No. OmniHuman-1 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does OmniHuman-1 have?
No parameter count has been published for OmniHuman-1, which is why no memory or speed figure appears on this page.
Who created OmniHuman-1?
OmniHuman-1 was published by ByteDance, based in China, categorised as industry.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.